Long multi-stage training for a motor-impaired user in a BCI competition - Inria - Institut national de recherche en sciences et technologies du numérique
Article Dans Une Revue Frontiers in Human Neuroscience Année : 2021

Long multi-stage training for a motor-impaired user in a BCI competition

Résumé

In a Mental Imagery Brain-Computer Interface the user has to perform a specific mental task that generates electroencephalography (EEG) components, which can be translated in commands to control a BCI system. The development of a high-performance MI-BCI requires a long training, lasting several weeks or months, in order to improve the ability of the user to manage his/her mental tasks. This works aims to present the design of a MI-BCI combining mental imaginary and cognitive tasks for a severely motor impaired user, involved in the BCI race of the Cybathlon event, a competition of people with severe motor disability. In the BCI-race, the user becomes a pilot in a virtual race game against up to three other pilots, in which each pilot has to control his/her virtual car by his/her mental tasks. We present all the procedures followed to realize an effective MI-BCI, from the user's first contact with a BCI technology to actually controlling a video-game through her EEG. We defined a multi-stage user-centered training protocol in order to successfully control a BCI, even in a stressful situation, such as that of a competition. We put a specific focus on the human aspects that influenced the long training phase of the system and the participation to the competition.
Fichier principal
Vignette du fichier
cybathlon_paper.pdf (3.94 Mo) Télécharger le fichier
Origine Publication financée par une institution

Dates et versions

hal-03192449 , version 1 (08-04-2021)

Identifiants

Citer

Federica Turi, Maureen Clerc, Théodore Papadopoulo. Long multi-stage training for a motor-impaired user in a BCI competition. Frontiers in Human Neuroscience, 2021, 15, ⟨10.3389/fnhum.2021.647908⟩. ⟨hal-03192449⟩
48 Consultations
93 Téléchargements

Altmetric

Partager

More